Common Issues Research Articles

Seq2Sat and SatAnalyzer toolkit: Towards comprehensive microsatellite genotyping from sequencing data.

Accurate and efficient microsatellite loci genotyping is an essential process in population genetics that is also used in various demographic analyses. Protocols for next-generation sequencing of microsatellite loci enable high-throughput and cross-compatible allele scoring, common issues that are not addressed by conventional capillary-based approaches. To improve this process, we have developed an all-in-one software, called Seq2Sat (sequence to microsatellite), in C++ to support automated microsatellite genotyping. It directly takes raw reads of microsatellite amplicons and conducts read quality control before inferring genotypes based on depth-of-read, read ratio, sequence composition and length. We have also developed a module for sex identification based on sex chromosome-specific locus amplicons. To allow for greater user access and complement autoscoring, we developed SatAnalyzer (microsatellite analyzer), a user-friendly web-based platform that conducts reads-to-report analyses by calling Seq2Sat for genotype autoscoring and produces interactive genotype graphs for manual editing. SatAnalyzer also allows users to troubleshoot multiplex optimization by analysing read quality and distribution across loci and samples in support of high-quality library preparation. To evaluate its performance, we benchmarked our toolkit Seq2Sat/SatAnalyzer against a conventional capillary gel method and existing microsatellite genotyping software, MEGASAT, using two datasets. Results showed that SatAnalyzer can achieve >99.70% genotyping accuracy and Seq2Sat is ~5 times faster than MEGASAT despite many more informative tables and figures being generated. Seq2Sat and SatAnalyzer are freely available on github (https://github.com/ecogenomicscanada/Seq2Sat) and dockerhub (https://hub.docker.com/r/rocpengliu/satanalyzer).

Attitudes and Perceptions of English as a Foreign Language Students on Blended Learning and Learner Autonomy in a Private University of China

Blended learning (BL) is becoming increasingly popular and a trend in higher education in the twenty-first century. The purpose of this study was to explore the attitudes and perceptions of English as a Foreign Language (EFL) learners toward the current implementation of BL and their learner autonomy (LA) development in a private university in China. It employed a qualitative case study, and the data was collected from five undergraduate students majoring in English through interviews, observations and reflective journals. Through thematic analysis of the data, the study concluded that EFL students at this university generally held negative attitudes toward the BL model and perceived the development of LA in this model as ineffective. Four themes related to the negative attitudes and perceptions emerged. First, a shortage of time was a common issue among students, and they felt mentally and physically overwhelmed by the blended tasks. Second, there was a lack of complementarity and integration between online and face-to-face instruction in the BL model. Third, students noted a lack of support and timely feedback from teachers in the online part of the BL model. Finally, more supervision was needed in terms of student characteristics. The findings have implications for future BL curriculum design and delivery, pedagogical adjustments and support for autonomous learning. More empirical studies focusing on the pedagogical design and the cultivation of EFL learners’ intrinsic motivation for autonomous English learning in the BL environment are essential to address the current situation.

Predictive markers for infections after extracorporeal shockwave lithotripsy in patients with kidney stone based on a large prospective cohort.

Infections in patients with kidney stones after extracorporeal shockwave lithotripsy (SWL) is a common clinical issue. However, the associated factors are unclear. Therefore, we aim to develop and validate a predictive model for infections after SWL in patients with kidney stone. Between June 2020 and May 2022, consecutive kidney stone patients were enrolled. Of them, 553 patients comprised the development cohort. One hundred sixty-five patients comprised the validation cohort. The data were prospectively collected. The stepwise selection was applied using the likelihood ratio test with Akaike's information criterion as the stopping rule; A predictive model was constructed through multivariate logistic regression. The performance was evaluated regarding discrimination, calibration, and clinical usefulness. Predictors of infections after SWL in treating kidney stones included older age (OR = 1.026, p = 0.041), female (OR = 2.066, p = 0.039), higher BMI (OR = 1.072, p = 0.039), lower stone density (OR = 0.995, p < 0.001), and higher grade of hydronephrosis (OR = 5.148, p < 0.001). For the validation cohort, the model showed good discrimination with an area under the receiver operating characteristic curve of 0.839 (95% CI 0.736, 0.941) and good calibration. Decision curve analysis demonstrated that the model was also clinically useful. This study indicated that age, gender, BMI, stone density, and hydronephrosis grade were significant predictors of infections after SWL in treating kidney stones. It provided evidence in optimizing prevention and perioperative treatment strategies to reduce the risk of infection after SWL.

Post-surgery financial toxicity and its influencing factors in colorectal cancer care: A cross-sectional study

PurposeThis study aimed to investigate the influence factors of financial toxicity experienced by colorectal cancer patients after surgery. The results will provide deep insights for developing effective intervention strategies to address this common issue of colorectal cancer care. MethodsIn this cross-sectional study, we recruited 213 postoperative patients with colorectal cancer from February 2023 to July 2023 in two major public hospitals. Patients completed the General Information Questionnaire, Comprehensive Scores for Financial Toxicity (COST), Self-perceived Burden Scale (SPBS), Family Resilience Questionnaire (FaREQ), and Social Support Rating Scale (SSRS). A multiple linear regression model was used to investigate the influence factors of financial toxicity. ResultsThe mean score of financial toxicity was medium (18.91 ± 7.90) in this study. Financial toxicity score was negatively correlated with self-perceived burden (r = −0.333, P < 0.01) and positively associated with family resilience (r = 0.365, P < 0.01) and social support (r = 0.388, P < 0.01). Via multiple linear regression analysis, we identified seven significant factors associated with financial toxicity, including family income [(95 %CI: 1.075–3.123); P = 0.000], self-perceived burden [(95 %CI: 0.300∼-0.038); P = 0.012], stoma [(95 %CI: 5.309∼-1.682); P = 0.000], social support [(95 %CI:0.058–0.407); P = 0.009], cancer stage [(95 %CI: 2.178∼-0.170); P = 0.022], postoperative duration [(95 %CI: 1.900∼-0.332); P = 0.005], and family resilience [(95 %CI: 0.028–0.203); P = 0.010]. ConclusionsFinancial toxicity was prevalent among postoperative colorectal cancer patients. Additional support and early interventions should be given to high-risk patients, including those with stomas, advanced disease stages, or experiencing longer postoperative duration. Apart from demographic factors, we identified that self-perceived burden, family resilience, and social support were also associated with financial toxicity, providing a new perspective for developing effective strategies against financial toxicity.

Maternal knowledge and family support for child food insecurity among households with stunting in young children

Bakcground: Stunting is a common health issue. In poor nations, particularly Indonesia, stunting is a long-term problem with chronic malnutrition that results in growth abnormalities in children, where the child's height is lower or shorter (stunted) than the average for their age.Purpose: To determine the relationship between maternal knowledge and family support for child food insecurity among households with stunting in young children.Method: Cross sectional research methodology is being used in this quantitative investigation. 110 toddlers from the Bojongnangka Tangerang Community Health Center's service region served as the study's population of interest. Simple random sampling is the sampling method employed. The measurements taken include the toddler's height and the answers to a questionnaire that the toddler's parents completed. SPSS 20 was used for data analysis. The Mann Whitney test was used to do univariate and bivariate analysis after the data had been gathered.Results: With a p value of 0.041, there is a significant correlation between the occurrence of staining and knowledge. Parental education (P=0.267), family skills (P=0.438), family attitudes (P=0.838), family emotional support (P=0.521), family informational support (P=0.707), and family appreciation support (P=0.872) do not significantly correlate with the prevalence of stunting.Conclusion: The prevalence of stunting in the Bojongnangka Tangerang Community Health Center is significantly correlated with knowledge.

The Use of Brief Mindfulness Interventions in the Context of Perioperative Care.

The purpose of this review was to synthesize and categorize the literature on the use of brief mindfulness interventions for both patients and physicians across the spectrum of perioperative care. Web-based discovery services and discipline-specific databases were queried. Brief mindfulness interventions were defined as sessions lasting 30min or less on any single occasion, with a total practice accumulation not exceeding 100min per week, and a duration of up to 4weeks. Study screening and data extraction were facilitated through the Covidence software platform. After screening 1047 potential studies, 201 articles were identified based on initial abstract and title screening; 10 studies ultimately met inclusion criteria. All ten studies were published between 2019 and 2023; most (n = 9) reports focused on patients (total joint arthroplasty, n = 3; stereotactic breast biopsy, n = 2; minimally invasive foregut surgery, n = 1; septorhinoplasty, n = 1; cardiac surgery, n = 1; and other/multiple procedures, n = 1); one studied investigated mindfulness interventions among surgeons. The duration of the interventions varied (3min to 29min). The most common issue that the mindfulness intervention aimed to address was pain (n = 6), followed by narcotic use (n = 3), anxiety (n = 2), delirium (n = 1), or patient satisfaction (n = 1). While most studies included a small sample size and had inconclusive results, brief mindfulness interventions were noted to impact various health-related outcomes, including mental health outcomes, anxiety, and pain perception. Mindfulness interventions may be a scalable, low-cost, time-limited intervention that has the potential to optimize well-being and surgical outcomes broadly construed.

The Effect of Alternating Application of Cold and Hot Compresses on Reduction of Breast Engorgement Among Lactating Mothers.

Breast engorgement is a common issue that affects breastfeeding initiation and continuation. Engorgement can cause exhaustion, making it difficult to care for and feed the infant, and it can cause a mother to wean her baby before she intends to initiate breastfeeding. This study aimed to determine the effectiveness of the alternating application of cold and hot compresses in reducing breast engorgement among lactating mothers. Design, sample size and setting: A quasi-experimental study design is used to conduct this study. A purposeful sample of 100 lactating mothers was screened in the postnatal ward for the presence of breast engorgement. The 100 mothers with engorgement were divided into two equal groups of 50 mothers each - the first group (the intervention) and the second group (the control) - at the postnatal ward of King Abdulaziz Hospital-National Guard in Alahsa City. Sampling and tools: The data collection was conducted over five months, from January 2023 until May 2023. Data collection was done through a structured interview questionnaire sheet. The questionnaire was divided into six parts: socio-demographic data, obstetric and initial women assessment, the six-point engorgement scale (SPES), the visual analog scale (VAS), the LATCH breastfeeding charting scale, and the Infant Breastfeeding Assessment Tool (IBFAT). The present study found no statistically significant difference between the study intervention and control groupsin breast engorgement, LATCH level, or overall level of breastfeeding assessment before the intervention. While, in terms of breast engorgement, pain level, attachment, and LATCH, the overall levels of infant breastfeeding assessment across study time had a statistically significant variance among the study and control groups after the intervention at p values=<0.001. The alternating application of cold and hot compresses can have a significant role in reducing breast engorgement among lactating mothers. Women should be encouraged to use hot compresses and cold gel packs as an alternative treatment to reduce engorgement and promote comfort. In addition, the study results can be utilized to aid Saudi Arabian nurses and midwives in understanding the advantages of applying a cold gel pack and a hot compress and to decrease levels of engorgement, improve latch, and relieve discomfort.

Research on smart baby cradle using sensor technology

A support is a gadget intended to assist infants with nodding off, utilizing a delicate side-to-side shaking movement. Be that as it may, it requests impressive actual exertion from guardians to produce this swinging movement physically. Moreover, consistent oversight is expected to screen the child's exercises when they are set inside the support. In the contemporary period of mechanical headway, guardians regularly wrestle with a horde of difficulties in offsetting their expert obligations with the sustaining needs of their kids. Our paper means to resolve the common issues looked by guardians by presenting an inventive IoT-based Savvy Support Observing Framework. The key goal is to ease the nurturing difficulties by making an answer that guides in the consistent observing of babies. The Shrewd Support includes a mechanized swinging component set off by the recognition of a child's crying sound. Moreover, it consolidates an inherent camera to give ceaseless reconnaissance, engaging guardians with an improved capacity to watch out for their kid. To accomplish this usefulness, we have consistently incorporated parts like Arduino, sound sensors, wetness sensors, and the swinging system, among other electronic components, into the customary support plan. This overhauled arrangement offers increased productivity and unwavering quality as well as outperforms the capacities of traditional supports, giving guardians an additional viable method for really focusing on their newborn children. Key Word: IoT Innovation, Brilliant Child Support.

Implementation of a tier system for IVIG indications to address IVIG shortage at a tertiary care pediatric medical center.

Drug shortages are a common issue that healthcare systems face and can result in adverse health outcomes for patients requiring inferior alternate treatment. The United States recently experienced a national drug shortage of intravenous immunoglobulin (IVIG). Several reported strategies to address the IVIG and other drug shortages have been proposed; however, there is a lack of evidence-based methods for protocol development and implementation. To evaluate the efficacy of introducing a multidisciplinary task force and tier system of indications and to minimize adverse effects during a shortage of IVIG. Faculty members across disciplines with expertise in IVIG use were invited to participate in a task force to address the shortage and ensure adequate supply for emergent indications. A tier system of IVIG indications was established according to the severity of diagnosis, urgency of indication, and quality of supporting evidence. Based on inventory, indications in selected tiers were auto-approved. Orders that could not be automatically approved were escalated for task force review. Overall, there were 342 distinct requests for IVIG during the study period (August 1, 2019 to December 31, 2019). All Tier 1 indications were approved. Of all requests, only 2.6% (9) of requests were denied, none of which resulted in adverse effects based on retrospective chart review. Seven patients who regularly receive IVIG had possible adverse effects due to dose reduction or spacing of treatment; however, each complication was multifactorial and not attributed to the shortage or tier system implementation alone. Implementation of a multidisciplinary task force and tier system to appropriately triage high-priority indications for limited pharmaceutical agents should be considered in health institutions faced with a drug shortage.

How depressionand antidepressant drugs affect endocannabinoid system?-review of clinical and preclinical studies.

As major depressive disorder is becoming a more and more common issue in modern society, it is crucial to discover new possible grip points for its diagnosis and antidepressive therapy. One of them is endocannabinoid system, which has been proposed as a manager of emotional homeostasis, and thus, endocannabinoid alterations have been found in animals undergoing various preclinical models of depression procedures as well as in humans suffering from depressive-like disorders. In this review article, studies regarding those alterations have been summed up and analyzed. Another important issue raised by the researchers is the impact of currently used antidepressive drugs on endocannabinoid system so that it would be possible to predict reversibility of endocannabinoid alterations following stress exposure and, in the future, to be able to design individually personalized therapies. Preclinical studies investigating this topic have been analyzed and described in this article. Unfortunately, too few clinical studies in this field exist, what indicates an urgent need for collecting such data, so that it would be possible to compare them with preclinical outcomes and draw reliable conclusions.

Research And Application Of 3D Collaborative Design in Oil and Gas Field Surface Engineering

With the constant development of major oil and gas fields at home and abroad towards the direction of digitalization and intelligent technologies, the traditional surface engineering process has encountered the challenges of limited professional collaborative design and poor data connection, etc. The advanced 3D collaborative design has gradually become the mainstream platform of oil and gas field surface engineering design due to its features of a higher degree of model reduction and its advantages of cross-discipline, cross-platform, and cross-region collaborative design. However, in the course of current station modeling and designing, due to the complexity of engineering and the limits of design software, etc., the problems of mutual transmission failure amongst models and the loss of attribute information are prone to occur, causing a bad impact on the work efficiency of 3D collaborative design. In this paper, the commonly used 3D collaborative design software in oil and gas fields has been systematically discussed along with the common issues and their solutions in aspects of 3D design analyzed. Moreover, the effective application of collaborative design in the stage of procurement and construction, and the stage of the operation and maintenance of the digital station shall be separately discussed. While improving the efficiency of 3D collaborative design, it also plays the role of guidance in strengthening the digital and intelligent construction foundation of oil and gas fields.

Multispectral near-infrared spectroscopy study evaluating the effect of razor design on shaving-induced erythema.

While shaving-induced erythema is a common inflammatory skin issue, there is a lack of quantitative information on how well a shaving product performs in this regard. In this study, multispectral near-infrared spectroscopy (NIRS) imaging was used to quantitatively and qualitatively measure the extent of shaving-induced erythema. The research compares a safety razor and a cartridge razor to evaluate their impact on skin irritation. Fifty-nine healthy male volunteers without pre-existing skin conditions were enrolled. Basic demographics were recorded, and participants' faces or necks were imaged before shaving. Shaving was conducted on the right side of the face/neck with the safety razor and on the left side of the face/neck using the 3-blade cartridge razor. Images were captured immediately after shaving, at 5 and 10 min post-shaving. Tissue oxygen saturation (StO2) measurements demonstrated that the safety razor induced significantly less erythema than the cartridge razor. Immediately after shaving, 40.3% of skin shaved with the safety razor had erythema compared to 57.6% for the cartridge razor. At 5 min post-shaving, 36.5% of skin shaved with the safety razor had erythema, compared to 53.8% of cartridge razor. Multispectral NIRS revealed significant differences in shaving-induced erythema between safety and cartridge razors. Safety razors demonstrated a lower incidence of erythema, suggesting a potential advantage for individuals prone to skin irritation. This study contributes valuable insights into skin irritation and highlights the potential of multispectral NIRS in dermatology research.

FAKTOR RISIKO KEJADIAN LOW BACK PAIN (LBP) PADA PEKERJA LAUNDRY DI DESA GENTAN, BAKI, SUKOHARJO

ABSTRACT&#x0D; Introduction: Low Back Pain (LBP) is a common health issue among workers, including those in the laundry industry. The occurrence of LBP can have negative impacts on productivity and worker well-being. Thus, this study aims to identify the risk factors associated with LBP among laundry workers in the village of Gentan, Baki, Sukoharjo.&#x0D; Method: This study utilizes a quantitative approach with a descriptive research design. The sample consists of laundry workers employed in the village of Gentan, Baki, Sukoharjo. Data were collected through a questionnaire that assessed the risk factors related to LBP. Descriptive statistics were employed to analyze the data.&#x0D; Results: The findings reveal that excessive workload and ergonomic risks are significant factors associated with LBP among laundry workers. Workers often face high job demands, including limited time to complete tasks and handling heavy items. Additionally, non-ergonomic work conditions contribute to the occurrence of LBP.&#x0D; Conclusion: This study emphasizes the importance of identifying and managing the risk factors associated with LBP among laundry workers. Measures such as reducing excessive workload and improving non-ergonomic work conditions can help mitigate the risk of LBP. Long-term preventive efforts should be implemented to ensure the health and well-being of laundry workers. Consequently, this research provides valuable insights for stakeholders in enhancing the well-being of laundry workers and reducing the occurrence of LBP.&#x0D; Keywords: Low Back Pain, Laundry workers, Risk factors.

A quad DC source switched three-phase multilevel DC-link inverter topology

The concept of an isolated DC source cascaded multilevel inverter finds good solutions for generating quality output voltage for low-medium power applications. It shapes the output voltage from three levels into a number of steps closer to a sinusoidal shape using small DC sources or batteries. Several advantages have been sighted like lower voltage stress and bearing noise, and lesser THD. However, a common issue in the MLIs is the total components required which increase with the rise in voltage levels. This paper proposes a three-phase MLI design having several isolated quad voltage source modules including an H-Bridge inverter. The design suggested claims reduced switching components for current conduction paths showing improved output quality. The operational features of the suggested MLI have been analyzed using Matlab/Simulink software, furthermore, an experimental module is constructed for demonstrating the effectiveness of the simulated results.

Demography, common disorders and mortality of Shih Tzu dogs under primary veterinary care in the UK

BackgroundShih Tzus are a popular dog breed in the UK although there is relatively little reported information on their health. This study aimed to characterise the demography, common disorders and mortality of Shih Tzus under primary veterinary care during 2016 in the UK using de-identified clinical records from the VetCompass™ Programme.ResultsThe study population of 336,865 dogs under veterinary care during 2016 included 11,082 Shih Tzus (3.3%). The median age was 4.1 years (IQR: 2.1–7.1, range: 0.3–20.4) and mean adult bodyweight was 7.9 kg (SD: 1.9 kg). Annual proportional births increased from 2.2% of all dog births in 2005 to 3.8% in 2013, dropping to 3.3% by 2016. From a random subset of 2,423 Shih Tzus that had information extracted on disorders diagnosed during 2016, the most prevalent fine-level precision disorders were periodontal disease (n = 229, prevalence 9.5%, 95% CI: 8.4–10.7), anal sac impaction (180, 7.4%, 95% CI: 6.5–8.5) and ear disorders (134, 5.5%, 95% CI: 4.7–6.5). The most prevalent grouped-level precision disorders were cutaneous (n = 402, prevalence: 16.6%, 95% CI: 15.2–18.1), dental (322, 13.3%, 95% CI: 12.0–14.7), and ophthalmological (289, 11.9%, 95% CI: 10.7–13.3). Males were more likely than females to be diagnosed with skin disorders (P = 0.007) and musculoskeletal disorders (P = 0.010) while females were more likely than males to be diagnosed with hernias (P = 0.005). The median age of death was 12.7 years (IQR 8.7–14.3, range 2.0–19.9) and did not differ statistically between males and females. The most common grouped causes of death were enteropathy (7.9%, 95% CI: 3.9–15.4), heart disease (7.9%, 95% CI: 3.9–15.4) and poor quality of life (7.9%, 95% CI: 3.9–15.4).ConclusionsPeriodontal disease, anal sac impaction and ear disorders were identified as common health issues. Shih Tzus had higher prevalence of anal sac impaction, umbilical hernias and eye problems than reported previously in dogs overall, suggesting potential predispositions. Shih Tzus appear to be relatively long-lived compared to previous reports of lifespan in dogs overall. The results can inform veterinarians and owners on priority disorders for monitoring to protect welfare. Oral hygiene was highlighted as a healthcare priority.

Damage Location Determination with Data Augmentation of Guided Ultrasonic Wave Features and Explainable Neural Network Approach for Integrated Sensor Systems

Machine learning techniques such as deep learning have already been successfully applied in Structural Health Monitoring (SHM) for damage localization using Ultrasonic Guided Waves (UGW) at various temperatures. However, a common issue arises due to the time-consuming nature of collecting guided wave measurements at different temperatures, resulting in an insufficient amount of training data. Since SHM systems are predominantly employed in sensitive structures, there is a significant interest in utilizing methods and algorithms that are transparent and comprehensible. In this study, a method is presented to augment feature data by generating a large number of training features from a relatively limited set of measurements. In addition, robustness to environmental changes, e.g., temperature fluctuations, is improved. This is achieved by utilizing a known temperature compensation method called temperature scaling to determine the function of signal features as a function of temperature. These functions can then be used for data generation. To gain a better understanding of how the damage localization predictions are made, a known explainable neural network (XANN) architecture is employed and trained with the generated data. The trained XANN model was then used to examine and validate the artificially generated signal features and to improve the augmentation process. The presented method demonstrates a significant increase in the number of training data points. Furthermore, the use of the XANN architecture as a predictor model enables a deeper interpretation of the prediction methods employed by the network.

Effectiveness of Traditional Thai Exercise (Ruesi Dadton) on Preventing Cognitive Impairment in Older Adults: A Quasi-Experimental Study

Background: Cognitive impairment is a common issue afflicting the geriatric population and may lead to increased rates of morbidity and mortality. Traditional Thai exercise (Ruesi Dadton) can help reduce the risk of health problems and improve the quality of life (QoL). Objective: To evaluate the efficacy of traditional Thai exercise (Ruesi Dadton) in preventing cognitive impairment in older adults. Materials and Methods: A quasi-experimental design was used for a posttest design. One hundred ninety-five eligible participants were recruited, including members of the elderly club in the elderly school for the intervention group and community-dwelling older adults for the control group. They were divided into two groups, with 65 as experimental group participants that were assigned to an 8-session intervention group, and 130 control group participants that received conventional care. The mini-mental state examination Thai version 2002 (MMSE-Thai 2002) was used to screen for cognitive impairment, and the Barthel activities of daily living (ADL) was used for assessing basic ADL function. Results: There were statistically significant differences between the post-test scores of the two groups in MMSE (p&lt;0.001), lower primary school (p=0.002), and higher primary school (p&lt;0.001). The post-interventional analysis revealed that the mean value of the MMSE scores was 25.0±4.9 in the experimental group as compared with a mean value of 21.8±3.3 in the control group. Conclusion: The traditional Thai exercise (Ruesi Dadton) program was effective in protecting against cognitive decline or dementia in the older population. Keywords: Ruesi Dadton stretching exercise; Cognitive impairment; Older adults

Let Us Manage BP Monitor Data Using WordPress Server and C#

Purpose: Nowadays, due to our unhealthy lifestyle, hypertension is a common and serious issue. We visit the doctor for a regular checkup at specific intervals. The doctor asks for a record of BP to review the medicine. Generally, we write our BP records on paper and carry them to show the doctor. There are a couple of disadvantages in this procedure. At first, most of the time, we did not find our paper at the time of the doctor's visit. Sometimes, the doctor is not able to read the handwriting. The doctor needs more time to estimate the high, low, and average BP record till the last visit. Sometimes, doctors prefer the BP curve. However, this procedure is more challenging. If any one of the events does not happen as expected, the treatment might go wrong. We need a good solution for the above all. We have the strength of various matured technologies. Applying those, we can solve the above situation quickly. Design/Methodology/Approach: Now, the solution is to record our BP data electronically rather than handwritten so that doctors can understand it easily. To store the bp data, we use a database. We will use a cloud database so that it can be accessible from anywhere. We can use a PC or mobile application to enter the BP data. We must enter the current reading whenever we measure BP using the apps. That is it. The application does the rest of the process. Findings/Result: As we describe, the procedure is primarily hectic. To enter bp data by opening is a time-consuming task. However, once familiar to us, it has excellent benefits. Once they adopt it, it will become a user-friendly tool to manage the BP data. Originality/Value: Several procedures are available to store and display the BP record. The smartwatch is a generic device that stores the data inside the application and then displays it according to our needs. However, it has serious drawbacks; in some ranges ( as observed in the high range), it does not provide an accurate value. Here, we are capturing the bp data from a dedicated bp instrument, which we can consider a reliable data source. Our application aims to provide as accurate data as possible to the doctors who need information. So, the application provides actual value to the user. Paper Type: Conceptual Research.

A Review on the Herbal Foot Crack Cream

Skin illnesses can be harmful in a variety of ways and are a common and widespread health issue that affect people of all ages, from newborns to the elderly. When someone has severe heel cracks, it might hurt to stand on them and occasionally cause bleeding. Many times, these illnesses are treated with certain wild plants and their parts. The five plant extracts that make up the herbal crack cream are: Daruharida (Berberisaristata DC.), Pashanbheda (Bergenialigulata (Wall.).Engl.), Jivanti (Leptadeniareticulata W. &amp; A.), kampilak (Mallotusphilippensis MUell.-Arg.), and Manjistha (Rubiacordifolia Linn.). Making and assessing herbal crack cream and comparing it to commercially available herbal crack cream was the primary goal of the study project. The findings indicated that the herbal crack cream met all the requirements for cream and that the created cream and extract, as well as the marketed cream, had been found to include tannins, flavonoids, and alkaloids.The quality of formulated and sold herbal crack cream is same.

Multi-indicator comparative evaluation for deep learning-based protein sequence design methods.

Proteins found in nature represent only a fraction of the vast space of possible proteins. Protein design presents an opportunity to explore and expand this protein landscape. Within protein design, protein sequence design plays a crucial role, and numerous successful methods have been developed. Notably, deep learning-based protein sequence design methods have experienced significant advancements in recent years. However, a comprehensive and systematic comparison and evaluation of these methods have been lacking, with indicators provided by different methods often inconsistent or lacking effectiveness. To address this gap, we have designed a diverse set of indicators that cover several important aspects, including sequence recovery, diversity, root-mean-square deviation of protein structure, secondary structure, and the distribution of polar and nonpolar amino acids. In our evaluation, we have employed an improved weighted inferiority-superiority distance method to comprehensively assess the performance of eight widely used deep learning-based protein sequence design methods. Our evaluation not only provides rankings of these methods but also offers optimization suggestions by analyzing the strengths and weaknesses of each method. Furthermore, we have developed a method to select the best temperature parameter and proposed solutions for the common issue of designing sequences with consecutive repetitive amino acids, which is often encountered in protein design methods. These findings can greatly assist users in selecting suitable protein sequence design methods. Overall, our work contributes to the field of protein sequence design by providing a comprehensive evaluation system and optimization suggestions for different methods.